Intel Nervana Neural Network Processor for AI

Intel recently announced it’s advancement in the cognitive and Artificial Intelligence (AI) and neural network realm. The pioneer in the silicon chips reveals its plans to ship industry’s first silicon for Neural Network Processing (Nervana Neural Network Processor) before the end of this year.

While talking to the WSJDLive Global Technology, Brian Krzanich, the CEO of Intel said that, the new technology will help speed up the research and development in myriad of industries.

Some of these sectors expected to witness the boost are: Health care, Social Media, Automotive, weather etc.

He further added:

We have multiple generations of Intel Nervana NNP products in the pipeline that will deliver higher performance and enable new levels of scalability for AI models. This puts us on track to exceed the goal we set last year of achieving 100 times greater AI performance by 2020.

Image Courtesy: Intel Newsroom

What is Nervana?

Nervana Systems is an Artificial Intelligence software company based in San Diego. It was acquired by Intel in August 2016.

The new processors (NNP), leverage the technology of Nervana Systems that it has acquired over the years working and developing deep learning and cloud based technology.

Facebook’s Collaboration

The CEO expressed his gratitude towards the social media giant for valuable sharing its technical insights.

Intel, no doubt outperforms Facebook in terms of technology by leaps and bounds. So the only valuable “insights” that Facebook may have provided is its user’s data. That’s a speculation though. Don’t quote me on this.

Data being the center point in Artificial Intelligence and Machine Learning, may have come in handy in studying behavioral patterns and then training the systems. This, in turn, may have helped molding the final finished good. The Nervana Neural Network Processors.

Intel’s Attempt to Catch the AI Wave

Intel has been facing curve balls from one of its competitors NVIDIA. With the rise in demand of high speed processors and super-fast computing devices, NVIDIA was constantly cornering the market with its high performing GPUs (Graphical Processing Units).

These GPUs are providing the much needed computing prowess required to perform multitude of calculations when training systems.

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